## Programs

- Bachelor of Science with a major in Applied Mathematics
- Bachelor of Science with a major in Mathematics
- Bachelor of Science with a major in Pre-doctoral Mathematics
- Bachelor of Arts with a major in Mathematics
- Bachelor of Science in Statistics and Data Science

The UE mathematics programs are distinctive with a curriculum that allows for early exposure to upper level courses and the opportunity to explore multiple career paths.

### Bachelor of Science with a major in Applied Mathematics

This degree program offers a firm foundation in applied mathematics by combining a rigorous program of study in mathematics with a concentration in one or more disciplines in which mathematical tools are used to solve real-world problems. Areas of application include, business administration, cognitive science, computer science, economics, and the physical or biological sciences.

#### Sample 4-year Plan Beginning in an Odd Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IECON 102 – Principles of MicroeconomicsQM 160 – Intro to Data Analytics |
MATH 222 – Calculus II |

Sophomore | MATH 323 – Calculus IIIACCT 210 – Principles of Accounting I |
MATH 324 – Differential EquationsCS 205 – Programming for the Sciences |

Junior | MATH 365 – ProbabilityMATH - ElectiveMKT 325 – Introduction to MarketingMGT 377 - Organizational Behavior |
MATH 341 – Linear AlgebraMATH 466 – StatisticsFIN 361 – Fundamentals of Finance |

Senior | MATH 495 – Senior Seminar: Mathematical ModelingBusiness – Elective |
MATH 373 – Numerical MethodsMATH - ElectiveBusiness – Elective |

#### Sample 4-year Plan Beginning in an Even Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IECON 102 – Principles of MicroeconomicsQM 160 – Intro to Data Analytics |
MATH 222 – Calculus II |

Sophomore | MATH 323 – Calculus IIIACCT 210 – Principles of Accounting I |
MATH 324 – Differential EquationsCS 205 – Programming for the Sciences |

Junior | MATH 365 – ProbabilityMATH - ElectiveMKT 325 – Introduction to MarketingMGT 377 - Organizational Behavior |
MATH 373 – Numerical MethodsMATH 466 – StatisticsFIN 361 – Fundamentals of Finance |

Senior | MATH 495 – Senior Seminar: Mathematical ModelingBusiness – Elective |
MATH 341 – Linear AlgebraMATH - ElectiveBusiness – Elective |

**Recommended Electives**

**MATH 330**– Theory of Interest**ECON 300**– Regression Analysis

These are **sample** plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in business administration. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

#### Sample 4-year Plan Beginning in an Odd Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus I |
MATH 222 – Calculus IICS 210 – Intro to Computer Science |

Sophomore | MATH 323 – Calculus IIICS 215 – Data Structures and algorithms |
MATH 324 – Differential EquationsMATH 341 – Linear AlgebraCS 220 – Logic Design |

Junior | MATH 365 – ProbabilityMATH - ElectiveCS - Elective |
MATH 466 – StatisticsMATH - ElectiveCS 290 – Object-Oriented Design |

Senior | MATH 495 – Senior Seminar: Mathematical ModelingCS - Elective |
MATH 373 – Numerical MethodsCS - Elective |

#### Sample 4-year Plan Beginning in an Even Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus I |
MATH 222 – Calculus IICS 210 – Intro to Computer Science |

Sophomore | MATH 323 – Calculus IIICS 215 – Data Structures and algorithms |
MATH 324 – Differential EquationsMATH 341 – Linear AlgebraCS 220 – Logic Design |

Junior | MATH 365 – ProbabilityMATH - ElectiveCS - Elective |
MATH 373 – Numerical MethodsMATH 466 – StatisticsCS 290 - Object-Oriented Design |

Senior | MATH 495 – Senior Seminar: Mathematical ModelingCS - Elective |
MATH - ElectiveCS - Elective |

**Recommended MATH and CS Electives**

**MATH 370**– Discrete and Combinatorial Mathematics**CS 381**– Formal Languages**CS 415**- Cryptography

These are **sample** plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in computer science. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

#### Sample 4-year Plan Beginning in an Odd Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IECON 101 – Principles of MacroeconomicsQM 160 – Introduction to Data Analytics |
MATH 222 – Calculus IIECON 102 – Principles of Microeconomics |

Sophomore | MATH 323 – Calculus III |
MATH 324 – Differential EquationsMATH 341 – Linear AlgebraCS 205 – Programming for the Sciences |

Junior | MATH 365 – ProbabilityMATH - ElectiveECON 345 – Intermediate Microeconomics |
MATH 466 – StatisticsMATH - ElectiveECON 345 – Intermediate Microeconomics |

Senior | MATH 495 – Senior Seminar: Mathematical ModelingECON 300 – Regression Analysis |
MATH 373 – Numerical MethodsECON - Elective |

#### Sample 4-year Plan Beginning in an Even Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IECON 101 – Principles of MacroeconomicsQM 160 – Introduction to Data Analytics |
MATH 222 – Calculus IIECON 102 – Principles of Microeconomics |

Sophomore | MATH 323 – Calculus IIIECON 345 – Intermediate Microeconomics |
MATH 324 – Differential EquationsMATH 341 – Linear AlgebraECON 346 – Intermediate MacroeconomicsCS 205 – Programming for the Sciences |

Junior | MATH 365 – ProbabilityECON 300 – Regression Analysis |
MATH 373 – Numerical MethodsMATH 466 – Statistics |

Senior | MATH 495 – Senior Seminar: Mathematical ModelingMATH 300 – Regression Analysis |
MATH - ElectiveECON - Elective |

**Recommended Mathematics Electives**

**MATH 330**– Theory of Interest

These are **sample** plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in economics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

#### Sample 4-year Plan Beginning in an Odd Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IQM 160 – Introduction to Data Analytics |
MATH 222 – Calculus IIPHYS 210 – Calculus Physics I |

Sophomore | MATH 323 – Calculus IIIPHYS 211 – Calculus Physics IICS 210 – Intro to Computer Science |
MATH 324 – Differential EquationsMATH 341 – Linear AlgebraPHYS 213 – Intro to Modern PhysicsPHYS 214 – Modern Physics Laboratory |

Junior | MATH 365 – ProbabilityMATH - Elective |
MATH 466 – StatisticsMATH - ElectivePHYS 305 – Mathematical Physics |

Senior | MATH 495 – Senior Seminar: Mathematical ModelingPHYS 401 – Advanced Electronmagnetics |
MATH 373 – Numerical MethodsPHYS 416 - Statistical Thermodynamics |

#### Sample 4-year Plan Beginning in an Even Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IQM 160 – Introduction to Data Analytics |
MATH 222 – Calculus IIPHYS 210 – Calculus Physics I |

Sophomore | MATH 323 – Calculus IIIPHYS 211 – Calculus Physics IICS 210 – Intro to Computer Science |
MATH 324 – Differential EquationsMATH 341 – Linear AlgebraPHYS 213 – Intro to Modern PhysicsPHYS 214 – Modern Physics Laboratory |

Junior | MATH 365 – ProbabilityMATH - Elective |
MATH 373 – Numerical MethodsMATH 466 – StatisticsPHYS 305 – Mathematical Physics |

Senior | MATH 495 – Senior Seminar: Mathematical ModelingPHYS 401 – Advanced Electronmagnetics |
MATH - ElectivePHYS 416 - Statistical Thermodynamics |

These are **sample** plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in physics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

### Bachelor of Science with a major in Mathematics

This program is well-suited for students who seek certification to teach mathematics at the senior high, junior high, and middle school levels and also for students who desire a Bachelor of Science degree with a major in mathematics and a minor (or second major) in an area unrelated to mathematics. The course work in mathematics is sufficiently rigorous to provide preparation for graduate work in mathematics.

#### Sample 4-year Plan Beginning in an Odd Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus I |
MATH 222 – Calculus IIQM 160 – Intro to Data Analytics |

Sophomore | MATH 323 – Calculus IIIMATH – Elective |
MATH 341 – Linear AlgebraCS 205 – Programming for the Sciences |

Junior | MATH 365 – ProbabilityMATH - Elective |
MATH 466 – Statistics |

Senior | MATH 420 – Intro to Real AnalysisMATH 495 – Senior Seminar: Mathematical Modeling |
MATH 445 – Abstract Algebra |

#### Sample 4-year Plan Beginning in an Even Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus I |
MATH 222 – Calculus IIQM 160 – Intro to Data Analytics |

Sophomore | MATH 323 – Calculus IIIMATH – Elective |
MATH 341 – Linear AlgebraCS 205 – Programming for the Sciences |

Junior | MATH 365 – ProbabilityMath 420 – Intro to Real Analysis |
MATH 445 – Abstract AlgebraMATH 466 – Statistics |

Senior | MATH 495 – Senior Seminar: Mathematical Modeling |
MATH – Elective |

These are **sample** plans of study. The courses listed are required for a B.S. with a major in mathematics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

#### Sample 4-year Plan Beginning in an Odd Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IEDUC 150 – Foundations and Diversity in American EducationPSYC 121 – Introduction to Psychology |
MATH 222 – Calculus IIPSYC 226 – Child and Adolescent PsychologyEDUC 320 – Teaching Strategies K-12 |

Sophomore | MATH 323 – Calculus IIIMATH 370 – Combinatorial MathematicsEDUC 322 – Special Needs Students K-12QM 160 – Intro to Data Analytics |
MATH 341 – Linear AlgebraEDUC 385 – Multicultural UnderstandingCS 205 – Programming for the Sciences |

Junior | MATH 355 – Foundations of GeometryMATH 365 – ProbabilityEDUC 363 – Teaching in Secondary SchoolsEDUC 456 – Methods of Teaching Math |
MATH 425 – Complex VariablesMATH 466 – StatisticsEDUC 443 – Curriculum in Middle School |

Senior | MATH 420 – Intro to Real AnalysisMATH 495 – Senior Seminar: Mathematical ModelingEDUC 428 – Reading in the Content Area |
EDUC 435 – Supervised Teaching SeminarEDUC 436 – Supervised Teaching |

#### Sample 4-year Plan Beginning in an Even Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IEDUC 150 – Foundations and Diversity in American EducationPSYC 121 – Introduction to Psychology |
MATH 222 – Calculus IIPSYC 226 – Child and Adolescent PsychologyEDUC 320 – Teaching Strategies K-12 |

Sophomore | MATH 323 – Calculus IIIMATH 355 – Foundations of GeometryEDUC 322 – Special Needs Students K-12QM 160 – Intro to Data Analytics |
MATH 341 – Linear AlgebraEDUC 385 – Multicultural UnderstandingCS 205 – Programming for the Sciences |

Junior | Math 365 – ProbabilityMath 420 – Intro to Real AnalysisEDUC 363 – Teaching in Secondary SchoolsEDUC 456 – Methods of Teaching Math |
MATH 445 – Abstract AlgebraMATH 466 – StatisticsEDUC 443 – Curriculum in Middle School |

Senior | MATH 370 – Combinatorial Mathematics MATH 495 – Senior Seminar: Mathematical ModelingEDUC 428 – Reading in the Content Area |
EDUC 435 – Supervised Teaching SeminarEDUC 436 – Supervised Teaching |

These are **sample** plans of study. The courses listed are required for a B.S. with a major in mathematics education. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

### Bachelor of Science in Pre-doctoral Mathematics

Pre-doctoral mathematics is a highly selective program for students who intend to pursue graduate study in mathematics leading to a doctoral degree. It involves undergraduate research and a curriculum that includes many courses typically offered only at the graduate level. Only two students are accepted per year.

### Bachelor of Arts with a major in Mathematics

This curriculum is designed for students seeking exposure to advanced mathematics as part of a broad-based liberal arts curriculum. It is particularly suitable for students interested in pursuing graduate study in mathematics or related disciplines.

#### Sample 4-year Plan Beginning in an Odd Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IQM 160 – Intro to Data Analytics |
MATH 222 – Calculus II |

Sophomore | MATH 323 – Calculus III |
MATH 341 – Linear AlgebraCS 205 – Programming for the Sciences |

Junior | MATH 365 – ProbabilityMATH 420 – Intro to Real Analysis |
MATH – ElectiveMATH – Elective |

Senior | MATH 495 – Senior Seminar: Mathematical Modeling |
MATH 445 – Abstract Algebra |

#### Sample 4-year Plan Beginning in an Even Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus IQM 160 – Intro to Data Analytics |
MATH 222 – Calculus II |

Sophomore | MATH 323 – Calculus III |
MATH 341 – Linear AlgebraCS 205 – Programming for the Sciences |

Junior | MATH 365 – ProbabilityMATH 420 – Intro to Real Analysis |
MATH 445 – Abstract AlgebraMATH – Elective |

Senior | MATH 495 – Senior Seminar: Mathematical Modeling |
MATH – Elective |

These are **sample** plans of study. The courses listed are required for a B.A. with a major in mathematics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

### Mathematics Minor

This program is designed to equip students in other disciplines with quantitative reasoning, analytical skills and the ability to work in a problem solving environment.

Requirements: Mathematics 221, 222; at least four mathematics courses numbered 300 or above; Engineering 390 and Physics 305 may be applied towards this total.

### Bachelor of Science in Statistics and Data Science

This degree program is designed for students pursuing a career as a data scientist or statistician. It combines cutting-edge techniques in data science with mathematically rigorous statistics. Statistics courses in the curriculum are project-driven, with an emphasis on the analysis of real-world data using statistical methods implemented by powerful statistical software. This program prepares students for a career in business or industry utilizing statistics or data science but is also sufficiently rigorous to prepare a student for graduate work in a related field. Learn more about the Statistics and Data Science program.

### Statistics and Data Science Minor

The minor in Statistics and Data Science is designed to equip students in other disciplines with the quantitative, technical, and communication skills necessary to advance in their field of study. The program provides opportunities for students to apply their statistical knowledge to their discipline and a variety of real-world problems.

Requirements: Statistics 266, 267, 300, at least 3 semester hours of computer programming courses specified by the Department of Mathematics and two 300- or 400- level applied statistics courses.

#### Sample 4-year Plan Beginning in an Odd Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus I |
MATH 222 – Calculus IISTAT 266 – Introductory Statistics with R |

Sophomore | CS 210 – Fund. of Programming ISTAT 267 – Experimental DesignMATH 365 – Probability |
MATH 341 – Linear AlgebraMath 466 – StatisticsCS 215 – Fund. of Programming II |

Junior | STAT 361 – Linear ModelsSTAT 474 – Techniques for Large Data Sets |
Harlaxton |

Senior | MATH 495 – Senior Seminar: Mathematical Modeling |
STAT 362 – Machine LearningSTAT 493 – Statistical Modeling |

#### Sample 4-year Plan Beginning in an Even Year

Fall | Spring | |
---|---|---|

Freshman | MATH 221 – Calculus I |
MATH 222 – Calculus IISTAT 266 – Introductory Statistics with RCS 210 – Fund. of Programming I |

Sophomore | STAT 267 – Experimental DesignMATH 365 – ProbabilityCS 215 – Fund. of Programming II |
MATH 341 – Linear AlgebraMath 466 – Statistics |

Junior | STAT 361 – Linear Models |
STAT 362 – Machine Learning |

Senior | STAT 474 – Techniques for Large Data SetsMATH 495 – Senior Seminar: Mathematical Modeling |
STAT 493 – Statistical Modeling |

These are **sample** plans of study. The courses listed are required for a B.S. in statistics and data science. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.

**Office Phone**

812-488-1234

**Office Email**

math@evansville.edu

**Office Location**

Room 314, Koch Center for Engineering and Science